Hi! I'm confused about how to understand the embeddings returned in the model output file. I use a hash function to create my features and put them in ffm format.

Here's an example of a row: 1 1:6259341:1 2:8234912:1 3:4939253:1 4:9309647:1 8:3255163:1

I have 8 fields and 10^7 features.

The model output looks like this: v_0_0: [0.00000182614,0.0306937,0.176317,0.107024,0.124319,0.0510931,0.0109776,0.15841]

How do I know which field and feature this vector represents since I don't have any field or feature with a value of 0?